A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Task allocation in spatial crowdsourcing: Current state and future directions
Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …
Secret-sharing-based secure user recruitment protocol for mobile crowdsensing
Mobile crowdsensing is a new paradigm in which a requester can recruit a group of mobile
users via a platform and coordinate them to perform some sensing tasks by using their …
users via a platform and coordinate them to perform some sensing tasks by using their …
Privacy-preserving user recruitment protocol for mobile crowdsensing
Mobile crowdsensing is a new paradigm in which a requester can recruit a group of mobile
users via a platform and coordinate them to perform some sensing tasks by using their …
users via a platform and coordinate them to perform some sensing tasks by using their …
Efficient crowdsourcing-aided positioning and ground-truth-aided truth discovery for mobile wireless sensor networks in urban fields
In urban fields, Mobile Wireless Sensor Networks (MWSNs) become ubiquitous. Accurate
GPS positioning for sensors is a fundamental problem for MWSNs. To solve this problem …
GPS positioning for sensors is a fundamental problem for MWSNs. To solve this problem …
A framework for optimal worker selection in spatial crowdsourcing using Bayesian network
Spatial Crowdsourcing (SC) is a new paradigm of crowdsourcing applications. Unlike
traditional crowdsourcing, SC outsources tasks to distributed potential workers, and those …
traditional crowdsourcing, SC outsources tasks to distributed potential workers, and those …
Distributed optimal scheduling in UAV swarm network
W Sun - 2021 IEEE 18th Annual Consumer Communications & …, 2021 - ieeexplore.ieee.org
In this paper, we focus on the tasks scheduling problem in UAV swarm network with power
constraint on each UAV. To do so, we propose a distributed optimal scheduling algorithm to …
constraint on each UAV. To do so, we propose a distributed optimal scheduling algorithm to …
Environment-driven task allocation in heterogeneous spatial crowdsourcing
In the era of mobile computing and sharing econ-omy, spatial crowdsourcing has become
an emerging paradigm where participants who meet the spatial requirements are actively …
an emerging paradigm where participants who meet the spatial requirements are actively …
Friends-based crowdsourcing: Algorithms for task dissemination over social groups
Crowdsourcing has become increasingly popular in recent years. In order to achieve the
optimal task allocation, one of the most important issues is to select more suitable …
optimal task allocation, one of the most important issues is to select more suitable …
采用离散烟花算法的移动群智感知异构任务分配
申晓宁， 许笛， 宋丽妍， 姚铖滨， 王玉芳 - 计算机工程与科学, 2023 - joces.nudt.edu.cn
建立移动群智感知异构任务分配问题的数学模型, 该模型考虑参与者的心理与行为过程,
并引入环境信息和参与者健康状况, 信誉度和测量时间等因素, 通过寻找最优任务分配方案 …
并引入环境信息和参与者健康状况, 信誉度和测量时间等因素, 通过寻找最优任务分配方案 …